An Adaptive Deep Learning Neural Network Model to Enhance Machine-Learning-Based Classifiers for Intrusion Detection in Smart Grids.
Xue Jun LiMaode MaYihan SunPublished in: Algorithms (2023)
Keyphrases
- deep learning
- intrusion detection
- neural network model
- machine learning
- neural network
- intrusion detection system
- anomaly detection
- unsupervised learning
- artificial neural networks
- decision trees
- data mining
- network security
- bp neural network
- feature selection
- network traffic
- network intrusion detection
- support vector
- training data
- detecting anomalous
- mental models
- alert correlation
- network intrusions
- support vector machine
- active learning
- learning algorithm
- supervised learning
- pattern recognition
- natural language processing
- object recognition
- network attacks
- data mining techniques
- learning process
- training set
- weakly supervised
- face recognition
- computer vision